# ReadMe:

	-models1and2.RData (includes candidate who competed in the SMDP tier and in both tiers) :
		- id: candidate numerical id
		- candidate: candidate's name
		- woman: 1 if the candidate is a woman
		- spending: reported campaign spending in NZ$
		- spending_ln: log(spending + 1)
		- spending_round: round(spending)
		- pct_spending: reported campaign spending as a % of the spending cap
		- pct_spending_ln: log(pct_spending_ln + 1)
		- diffVS: (District Winner Vote Share in t-1) - (Candidate Vote Share in t-1)
		- onlySMDP: candidate competed only in the SMDP tier
		- diffSMDP: diffVS * onlySMDP
		- incumbent: candidate is the incumbent (SMDP or PR tier)
		- party: candidate's party
		- election_year: electoral year
		- electorate: SMDP electorate's name

	- model3.RData (includes only candidates who competed in both tiers):
		- id: candidate numerical id
		- candidate: candidate's name
		- woman: 1 if the candidate is a woman
		- spending: reported campaign spending in NZ$
		- spending_ln: log(spending + 1)
		- spending_round: round(spending)
		- pct_spending: reported campaign spending as a % of the spending cap
		- pct_spending_ln: log(pct_spending_ln + 1)
		- diffVS: (District Winner Vote Share in t-1) - (Candidate Vote Share in t-1)
		- onlySMDP: candidate competed only in the SMDP tier
		- diffSMDP: diffVS * onlySMDP
		- incumbent: candidate is the incumbent (SMDP or PR tier)
		- party: candidate's party
		- election_year: electoral year
		- electorate: SMDP electorate's name
		- pr_rank: candidate's list position
		- scale_rank: 1 - (pr_rank/list_length)
		- diffRank: diffVS * scale_rank